I read a great article from the NY Times that IĀ found to be apropos of this discussion. As mentioned in the article, I think predictive analytics would be very useful. Data from past studentsā records high school grades, SAT scores, Regents scores, etc) create a “profile” we use to help identify incoming students who have a stronger likelihood of poor academic performance. The next step would be offering the necessary, relevant supports for success. We shouldn’t be waiting for students to ask for help, we should be reaching out to them.
I’m not sure if any of you have already read this article or if it’s already been posted here somewhere, but in case you’d like to read it: https://www.nytimes.com/2018/03/02/opinion/sunday/graduation-rates-wayne-state.html
Thanks for sharing this article. I spent most of my day writing a research article, āUsing Prescriptive Data Analytics to Reduce Grading Bias and Foster Student Success,ā with Ashwin Satyanarayana (Computer Systems Technology Department) and a colleague from Hunter College, School of Curriculum and Instruction.
This is a great direction! I was fortunate to see a presentation Wayne State gave at a conference last year, and they used the tool that we’re getting within the next 1-2 years for their predictive analytics–EAB Navigate. But it’s going to take a lot of effort to make sure that we’re ready as a college to use it well: to identify what we want to do with the analytics first and to make sure that we’re reaching out, responding, and following up in a thoughtful way. I can send you their ppt if you’d like.
Tks for this article and Kim, I’d definitely be interested in the Wayne State powerpoint. Best, TG